NVIDIA NIM vs NVIDIA TensorRT
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. NVIDIA TensorRT is completely free, while NVIDIA NIM is freemium.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Optimized model containers
- Hosted API catalog
- OpenAI-compatible endpoints
- Retrieval microservices
- Free prototyping credits
- Inference compiler and runtime
- Layer and tensor fusion
- FP8, FP4, INT8 and INT4 quantization
- Model Optimizer
- Edge to data center deployment
| Feature | NVIDIA NIM | NVIDIA TensorRT |
|---|---|---|
| Best for | NVIDIA's optimized model containers and hosted API catalog | SDK that compiles and optimizes models for fast inference on NVIDIA GPUs |
| Category | Models & APIs | Models & APIs |
| Pricing model | Freemium | Free |
| Starting price | See pricing page | Free |
| Free plan | Yes | Yes, fully free |
| Made by | NVIDIA | NVIDIA |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
NVIDIA TensorRT is completely free, while NVIDIA NIM is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
2 plans
Developer Program
Free
- Free NIM API access for prototyping
- Self-host NIM for development
NVIDIA AI Enterprise
$4,500 / GPU / yr
- Production NIM deployment
- Enterprise support and security updates
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
NVIDIA NIM
- High throughput on NVIDIA GPUs
- Easy to try models in browser
- Wide model catalog
- Production use needs a paid license
- Tied to NVIDIA hardware
- Setup is heavy for small teams
NVIDIA TensorRT
- Large latency and throughput gains
- Works with models from major frameworks
- Free to download
- Only runs on NVIDIA GPUs
- Engines must be rebuilt per GPU type
- Tuning precision takes expertise
Which one should you choose?
Choose NVIDIA NIM if you want:
- High throughput on NVIDIA GPUs
- Easy to try models in browser
- Wide model catalog
Watch out: production use needs a paid license.
Choose NVIDIA TensorRT if you want:
- Large latency and throughput gains
- Works with models from major frameworks
- Free to download
Watch out: only runs on nvidia gpus.
NVIDIA NIM vs NVIDIA TensorRT FAQ
What is the difference between NVIDIA NIM and NVIDIA TensorRT?
NVIDIA NIM: NVIDIA's optimized model containers and hosted API catalog. NVIDIA TensorRT: SDK that compiles and optimizes models for fast inference on NVIDIA GPUs. Both are models & apis tools.
Is NVIDIA NIM or NVIDIA TensorRT cheaper?
NVIDIA TensorRT is completely free, while NVIDIA NIM is freemium.
Do NVIDIA NIM and NVIDIA TensorRT have free plans?
NVIDIA NIM: Yes. NVIDIA TensorRT: Yes, fully free.
Who makes NVIDIA NIM?
NVIDIA NIM is made by NVIDIA, based in United States.
Who makes NVIDIA TensorRT?
NVIDIA TensorRT is made by NVIDIA, based in United States.
Which should I choose, NVIDIA NIM or NVIDIA TensorRT?
Choose NVIDIA NIM if you value high throughput on nvidia gpus and easy to try models in browser. Choose NVIDIA TensorRT if you value large latency and throughput gains and works with models from major frameworks.